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ORCIDVincent J. Velten
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2010 – 2019
- 2019
[j5]Jie Wei, Chi-Him Liu, Zhigang Zhu
, Lindsay R. Cain, Vincent J. Velten:
Vehicle engine classification using normalized tone-pitch indexing and neural computing on short remote vibration sensing data. Expert Syst. Appl. 115: 276-286 (2019)- 2017
- [j4]Olga Mendoza-Schrock, Mateen M. Rizki, Vincent J. Velten:
Manifold Transfer Subspace Learning (MTSL) for Applications in Aided Target Recognition. Int. J. Monit. Surveillance Technol. Res. 5(3): 15-32 (2017) - 2015
- [c1]Olga Mendoza-Schrock, Mateen M. Rizki, Vincent J. Velten:
Manifold and transfer subspace learning for cross-domain vehicle recognition in dynamic systems. FUSION 2015: 1954-1961
2000 – 2009
- 2000
- [j3]D. Gregory Arnold, Kirk Sturtz, Vincent J. Velten, Nagaraj Nandhakumar:
Dominant-Subspace Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 22(7): 649-662 (2000)
1990 – 1999
- 1997
- [j2]Jonathan D. Michel, Nagaraj Nandhakumar, Vincent J. Velten:
Thermophysical Algebraic Invariants from Infrared Imagery for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 41-51 (1997) - [j1]Nagaraj Nandhakumar, Jonathan D. Michel, D. Gregory Arnold, George A. Tsihrintzis, Vincent J. Velten:
Robust thermophysics-based interpretation of radiometrically uncalibrated IR images for ATR and site change detection. IEEE Trans. Image Process. 6(1): 65-78 (1997)
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